issues
3 rows where type = "issue" and "updated_at" is on date 2019-04-15 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date), closed_at (date)
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
326767626 | MDU6SXNzdWUzMjY3Njc2MjY= | 288 | Support multiple filters of the same type | simonw 9599 | closed | 0 | 3 | 2018-05-26T21:13:12Z | 2019-04-15T23:45:04Z | 2019-04-15T23:44:26Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/288/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | |||||||
433297989 | MDU6SXNzdWU0MzMyOTc5ODk= | 433 | ?column__in=value1,value2,value3 filter | simonw 9599 | closed | 0 | 0 | 2019-04-15T13:58:24Z | 2019-04-15T23:00:20Z | 2019-04-15T23:00:20Z | OWNER | Support for the SQL
If comma separation won't work (because the values themselves contain commas) you can do this instead:
See also #288 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/433/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | ||||||
432636432 | MDU6SXNzdWU0MzI2MzY0MzI= | 429 | ?_where=sql-fragment parameter for table views | simonw 9599 | closed | 0 | 7 | 2019-04-12T15:58:51Z | 2019-04-15T10:48:01Z | 2019-04-13T01:37:25Z | OWNER | Only available if arbitrary SQL is enabled (the default).
Allows any table (or view) page to have arbitrary additional This would be extremely useful for building JavaScript applications against the Datasette API that only need on extra tiny bit of SQL but still want to benefit from other table view features like faceting. Would be nice if this could take |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/429/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);